Publication Information

{'id': 'https://openalex.org/W2382433580', 'doi': None, 'title': 'Research and Improvement of TFIDF Text Feature Weighting Method', 'display_name': 'Research and Improvement of TFIDF Text Feature Weighting Method', 'publication_year': 2014, 'publication_date': '2014-01-01', 'ids': {'openalex': 'https://openalex.org/W2382433580', 'mag': '2382433580'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'http://en.cnki.com.cn/Article_en/CJFDTOTAL-JSJA201406040.htm', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S57947533', 'display_name': 'Computer Science', 'issn_l': '1508-2806', 'issn': ['1508-2806', '2300-7036'], 'is_oa': True, 'is_in_doaj': True, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320333', 'host_organization_name': 'Wydawnictwa AGH', 'host_organization_lineage': ['https://openalex.org/P4310320333'], 'host_organization_lineage_names': ['Wydawnictwa AGH'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': [], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5002216317', 'display_name': 'Le Huang', 'orcid': 'https://orcid.org/0000-0002-7973-153X'}, 'institutions': [{'id': 'https://openalex.org/I206324368', 'display_name': 'Shaoyang University', 'ror': 'https://ror.org/03fx09x73', 'country_code': 'CN', 'type': 'education', 'lineage': ['https://openalex.org/I206324368']}], 'countries': ['CN'], 'is_corresponding': True, 'raw_author_name': 'Huang Le', 'raw_affiliation_strings': ['Department of Electric Engineering,Shaoyang University'], 'affiliations': [{'raw_affiliation_string': 'Department of Electric Engineering,Shaoyang University', 'institution_ids': ['https://openalex.org/I206324368']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': ['https://openalex.org/A5002216317'], 'corresponding_institution_ids': ['https://openalex.org/I206324368'], 'apc_list': {'value': 0, 'currency': 'USD', 'value_usd': 0, 'provenance': 'doaj'}, 'apc_paid': None, 'fwci': 0.0, 'has_fulltext': False, 'cited_by_count': 1, 'citation_normalized_percentile': {'value': 0.539998, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 66, 'max': 73}, 'biblio': {'volume': None, 'issue': None, 'first_page': None, 'last_page': None}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T13083', 'display_name': 'Advanced Text Analysis Techniques', 'score': 0.8994, 'subfield': {'id': 'https://openalex.org/subfields/1702', 'display_name': 'Artificial Intelligence'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T13083', 'display_name': 'Advanced Text Analysis Techniques', 'score': 0.8994, 'subfield': {'id': 'https://openalex.org/subfields/1702', 'display_name': 'Artificial Intelligence'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T13734', 'display_name': 'Advanced Computational Techniques and Applications', 'score': 0.8954, 'subfield': {'id': 'https://openalex.org/subfields/1702', 'display_name': 'Artificial Intelligence'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/tf–idf', 'display_name': 'tf–idf', 'score': 0.9915681}, {'id': 'https://openalex.org/keywords/feature', 'display_name': 'Feature (linguistics)', 'score': 0.5011544}], 'concepts': [{'id': 'https://openalex.org/C81758059', 'wikidata': 'https://www.wikidata.org/wiki/Q796584', 'display_name': 'tf–idf', 'level': 3, 'score': 0.9915681}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.7510832}, {'id': 'https://openalex.org/C183115368', 'wikidata': 'https://www.wikidata.org/wiki/Q856577', 'display_name': 'Weighting', 'level': 2, 'score': 0.55177915}, {'id': 'https://openalex.org/C2776401178', 'wikidata': 'https://www.wikidata.org/wiki/Q12050496', 'display_name': 'Feature (linguistics)', 'level': 2, 'score': 0.5011544}, {'id': 'https://openalex.org/C23123220', 'wikidata': 'https://www.wikidata.org/wiki/Q816826', 'display_name': 'Information retrieval', 'level': 1, 'score': 0.46083835}, {'id': 'https://openalex.org/C61797465', 'wikidata': 'https://www.wikidata.org/wiki/Q1188986', 'display_name': 'Term (time)', 'level': 2, 'score': 0.3856774}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.36366367}, {'id': 'https://openalex.org/C124101348', 'wikidata': 'https://www.wikidata.org/wiki/Q172491', 'display_name': 'Data mining', 'level': 1, 'score': 0.36210304}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.335583}, {'id': 'https://openalex.org/C121332964', 'wikidata': 'https://www.wikidata.org/wiki/Q413', 'display_name': 'Physics', 'level': 0, 'score': 0.06940663}, {'id': 'https://openalex.org/C41895202', 'wikidata': 'https://www.wikidata.org/wiki/Q8162', 'display_name': 'Linguistics', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C138885662', 'wikidata': 'https://www.wikidata.org/wiki/Q5891', 'display_name': 'Philosophy', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C62520636', 'wikidata': 'https://www.wikidata.org/wiki/Q944', 'display_name': 'Quantum mechanics', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C24890656', 'wikidata': 'https://www.wikidata.org/wiki/Q82811', 'display_name': 'Acoustics', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'http://en.cnki.com.cn/Article_en/CJFDTOTAL-JSJA201406040.htm', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S57947533', 'display_name': 'Computer Science', 'issn_l': '1508-2806', 'issn': ['1508-2806', '2300-7036'], 'is_oa': True, 'is_in_doaj': True, 'is_core': True, 'host_organization': 'https://openalex.org/P4310320333', 'host_organization_name': 'Wydawnictwa AGH', 'host_organization_lineage': ['https://openalex.org/P4310320333'], 'host_organization_lineage_names': ['Wydawnictwa AGH'], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [{'id': 'https://metadata.un.org/sdg/4', 'display_name': 'Quality education', 'score': 0.87}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 0, 'referenced_works': [], 'related_works': ['https://openalex.org/W3083647155', 'https://openalex.org/W2744372372', 'https://openalex.org/W2511698004', 'https://openalex.org/W2394452593', 'https://openalex.org/W2383777945', 'https://openalex.org/W2381981226', 'https://openalex.org/W2375417888', 'https://openalex.org/W2373047486', 'https://openalex.org/W2369751049', 'https://openalex.org/W2366961219', 'https://openalex.org/W2356267557', 'https://openalex.org/W2356192735', 'https://openalex.org/W2351819355', 'https://openalex.org/W2331787763', 'https://openalex.org/W2324090579', 'https://openalex.org/W2198237484', 'https://openalex.org/W2151218288', 'https://openalex.org/W2045853577', 'https://openalex.org/W1998998501', 'https://openalex.org/W1979250204'], 'abstract_inverted_index': {'Keywords': [0], 'extraction': [1, 73], 'method': [2, 121, 132], 'plays': [3], 'a': [4, 82, 88, 138], 'very': [5], 'important': [6], 'role': [7], 'in': [8, 94, 137], 'the': [9, 20, 23, 28, 35, 47, 53, 69, 95, 100, 106, 118, 123, 135], 'areas': [10], 'of': [11, 22, 37, 71, 78, 108], 'text': [12], 'classification': [13], 'and': [14, 52, 62, 103, 110, 122], 'information': [15], 'retrieval.This': [16], 'paper': [17], 'firstly': [18], 'analysed': [19], 'shortage': [21], 'original': [24], 'TFIDF': [25, 120, 143], 'algorithm,that': [26], 'is': [27, 74], 'IDF(Inverse': [29], 'Document': [30], 'Frequency)algorithm': [31], 'does': [32], 'not': [33, 75], 'consider': [34], 'distribution': [36], 'feature': [38], 'term': [39], 'between': [40], 'categories.So': [41], 'some': [42, 57], 'problems': [43], 'will': [44], 'appear,such': [45], 'as': [46, 113], 'terms': [48], 'with': [49, 59], 'low': [50, 63], 'frequency': [51, 61], 'high': [54, 60], 'IDF': [55, 64], 'weights,and': [56], 'words': [58], 'weights,which': [65], 'can': [66, 133], 'cause': [67], 'that': [68, 128], 'precision': [70], 'keywords': [72, 136], 'accurate.After': [76], 'analysis': [77], 'these': [79], 'problems,by': [80], 'increasing': [81], 'new': [83, 89], 'weight': [84], 'DI(Distribution': [85], 'Information),we': [86], 'got': [87], 'DI-TFIDF': [90, 124, 131], 'algorithm.A': [91], 'corpus': [92, 102], 'used': [93], 'experiment': [96, 115], 'was': [97], 'downloaded': [98], 'from': [99], 'Sogou': [101], 'we': [104], 'selected': [105], '1000article': [107], 'sports,education': [109], 'military': [111], 'documents': [112], 'an': [114], 'based': [116], 'on': [117], 'traditional': [119, 142], 'method.Experimental': [125], 'results': [126], 'show': [127], 'our': [129], 'proposed': [130], 'extract': [134], 'higher': [139], 'accuracy': [140], 'than': [141], 'algorithm.': [144]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2382433580', 'counts_by_year': [{'year': 2019, 'cited_by_count': 1}], 'updated_date': '2024-12-25T11:31:13.511176', 'created_date': '2016-06-24'}